MSc in Artificial Intelligence (Online)
University of Hull
Student rating
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( 4.1)

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Qualification

MSc - Master of Science

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Location

University of Hull

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Study mode

Online

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Start date

MAY-25

time
Duration

2 years

Course info

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Qualification

MSc - Master of Science

Location

University of Hull

Study mode

Online

Start date

JAN-25

Duration

2 years

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Qualification

MSc - Master of Science

Location

University of Hull

Study mode

Online

Start date

MAY-25

Duration

2 years

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Computer Science
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Course info

What you learnThe programme introduces you to Python AI libraries and coding techniques, as a basis for learning how to communicate ideas and data visualisations to non-specialist audiences. It covers advanced technologies such as Machine Learning/Deep Learning and prepares you for the ethical, regulatory and social aspects of the fair use of AI.The programme also focuses on applied AI with case studies on the use of AI in the industry including health, legal, sustainability, climate change, ...Read more

What you learn

The programme introduces you to Python AI libraries and coding techniques, as a basis for learning how to communicate ideas and data visualisations to non-specialist audiences. It covers advanced technologies such as Machine Learning/Deep Learning and prepares you for the ethical, regulatory and social aspects of the fair use of AI.

The programme also focuses on applied AI with case studies on the use of AI in the industry including health, legal, sustainability, climate change, automobile and local government.

Your time with us will help you gain a wide range of competencies needed to progress in the field of AI with confidence and clarity. As one of our students, you’ll learn how to:

Identify, apply, and implement a range of AI tools, algorithms, and techniques for creative problem-solving

Clearly convey ideas and the application of AI to non-specialist audiences, as well as how to present the outcomes of AI solutions

Critically reflect upon and address the legal, social, ethical, cultural, and professional implications of using AI

Use knowledge of applied Machine Learning/ Deep Learning techniques, business analytics, and associated business strategies based on AI to design solutions for a range of applied fields

Utilise various research methods to study AI, and further your understanding of business models and management to contextualise your output

Critically reflect on the significance and impact of AI within the workplace

Explore the horizon of AI and its real-world applications in fields such as healthcare, marketing, and the government/public sector

Career prospects

Ultimately, your employability will be the key focus of this MSc. From training in computer programming to building your analytic experience with engaging case studies, your time on the course will help you develop an excellent portfolio evidencing your AI expertise.

The growth of AI is rapidly changing the way we live, work, and learn – however, there’s a considerable shortage of AI specialists across most of the world. Upon graduating from this course, you’ll be well-positioned to help meet this demand.

The expertise that you’ll gain through your studies will help you earn promotions into more senior-level positions, or even secure new opportunities in various areas such as healthcare, military, financial services, law and agriculture as a data analyst, AI engineer and Business Intelligence (BI) developer and many more depending on how you’d like to advance your career.

Key stats

CUG Subject Ranking
CUG Subject Ranking
Source: Complete University Guide 2025
55th
CUG Ranking
CUG Ranking
Source: Complete University Guide 2025
73rd

Modules

Module Options
IDP Connect

Entry requirements

Students should have either an Honours (or higher) degree at 2:2 or above or international equivalent in a STEM discipline (such as computer science, physics, mathematics) or closely related subjects. Applicants must have studied, as part of their first degree, a module in mathematics (pure or applied), statistics, computing, or data analysis or equivalent professional experience (including training in coding) or applicants without relevant degree qualifications will be considered based on relevant professional experience or training, which must include competence in computer programming. This can be evidenced, for example, through a recognised course or module at level 3 or above, an industrial certificate, or a summary of programming projects undertaken.

Tuition fees

Students living in

Domestic

£4,125 per year

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from Domestic

This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)

Total course fees: £8,250

£4,125 per year

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from EU

The amount you'll pay if you come to study here from somewhere in the EU.

Total course fees: £8,250

£4,125 per year

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from International

The amount you'll pay if you come to study here from a country outside the EU.

Total course fees: £8,250

IDP Connect

Uni info

University of Hull
University of Hull , Hull

The University of Hull is one of the most innovative and influential institutions located in the north of England....

Student rating
( 4.1) View reviews
CUG ranking
73rd
University of Hull
Admissions Office Cottingham Road Hull Kingston Upon Hull HU6 7RX United Kingdom
Nearest train station: Hull Paragon Interchange  1.3 miles away
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